Dujrudee Chinwong

Introduction: Practicing smoking cessation counseling with real patients is often limited in pharmacy education. To address this gap, artificial intelligence (AI) was employed to simulate patient interactions for role-playing, providing a flexible and pressure-free learning experience. This...

This pilot randomized controlled trial evaluated the effectiveness of a social media detoxification intervention in reducing social media addiction and usage time among undergraduate pharmacy students at Chiang Mai University. A total of 23 students were randomly assigned to either an experimental group (n = 12) or a control group (n = 11). The intervention involved reducing screen time on mobile devices by 50% over four weeks using built-in screen time restriction settings, while the control group continued regular usage. The primary outcome was the Social Media Addiction Test (SMAT) score (16-item scale; higher scores indicate greater addiction), assessed at baseline and at week 4. The secondary outcome was weekly social media usage time (minutes per week, obtained from device screen-time reports), recorded over 4 weeks. Linear regression and Generalized Estimating Equation (GEE) models were used for the primary and secondary outcomes, respectively, with both models adjusting for baseline values. Results: At baseline, both groups were comparable in terms of key characteristics, SMAT score, and weekly usage. After 4 weeks, the experimental group had a significantly greater reduction in SMAT scores compared to the control group (adjusted difference = −7.92, 95% CI: −13.35 to −2.49, p = 0.006). For the secondary outcome, GEE analysis showed that the experimental group used social media for 1223.9 min/week (about 20 h/week) less than the control group (95% CI: −1720.6 to −727.1, p < 0.001). In short, social media detoxification through screen time restrictions appears to reduce social media addiction and usage time among pharmacy students. This intervention offers a promising and realistic way to help reduce social media addiction.

Background: This study aimed to: (1) assess healthcare providers’ opinions on e-cigarette safety and compare them across professions; (2) evaluate providers’ recommendations for e-cigarettes as a tobacco product cessation tool and identify any associations with their safety perceptions. Methods: A self-administered questionnaire was completed by 760 healthcare professionals (January–March 2020). The survey included eight opinions on e-cigarette safety with five Likert-scale answers and a question on recommending them for tobacco product cessation. Results: Among 760 healthcare providers (173 physicians/dentists, 69 pharmacists, and 518 nurses), only 20% reported prior experience with tobacco product cessation counseling. Providers expressed uncertainty regarding e-cigarette safety (mean ± SD: 2.5 ± 0.7 on a 5-point Likert scale), with no significant differences between professions (p = 0.836). Similarly, e-cigarette recommendations for tobacco product cessation remained low across professions (13%, 85/637), with no significant differences found (p = 0.072). The recommendation of e-cigarettes for tobacco cessation is associated with perceived safety, lower respiratory irritation, lower coughing, a lower risk of cancer, and a lower risk for secondhand smokers when compared to traditional cigarettes (p < 0.05). Conclusions: Most healthcare providers were unsure about the safety of e-cigarettes; about 13% of providers suggested using them for tobacco product cessation, with safety perceptions influencing recommendations.

In Thailand and worldwide, smartphone addiction among university students is a growing concern. This study aims to investigate behaviors of smartphone use, the prevalence of smartphone addiction, the duration of smartphone use, and their associated factors among pharmacy students at a university in northern Thailand. This cross-sectional study was conducted using an online self-administered questionnaire to collect data from January to February 2021. Smartphone addiction was measured using the Smartphone Addiction Scale: Thai Short Version (SAS-SV-TH). Of 281 students (70% female, average age of 21.1 (2.0), year 1 to 5), 87% used smartphones and tablets. Their average time spent on a smartphone was 7.5 (±3.1) hours daily on weekdays and 8.1 (±3.1) on weekends. The top three reasons for using smartphones were social networking (92.9%), education (90.3%) and entertainment (89.6%). Health-related problems associated with smartphone use were insomnia (51.3%), anxiety (41.3%), headache (38.8%) and stress (38.4%). The prevalence of smartphone addiction was 49% (95% CI: 44–55%); the associated factor comprised time spent on smartphones (>5 h/day). The prevalence of spending more than five hours daily on smartphones was 75% (95% CI: 70–80%) during weekdays and 81% (95% CI: 77–86%) during weekends; associated factors for during weekdays included a monthly smartphone bill of more than 500 THB (adjusted odds ratio: 4.30 (95% CI: 2.00–9.24) and for senior students (adjusted OR: 3.31 (95% CI: 1.77–6.19). The results remained the same for the weekend. In short, the results show that half of the pharmacy students were addicted to their smartphone; time spent on smartphones (>5 h/day) was associated with addiction. Therefore, university students should be encouraged to adopt healthy habits for smartphone use (such as limiting screen time and maintaining good posture while using a smartphone or tablet) and to increase their awareness of health-related problems.

An influenza vaccination is recommended for patients with diabetes mellitus (DM) or ischemic heart disease (IHD) to prevent cardiovascular events, but the vaccination coverage remains low. This cross-sectional study sought to investigate vaccination coverage, knowledge level on influenza and factors associated with influenza vaccination in patients with DM or IHD treated at a tertiary hospital in northern Thailand. Patients were interviewed from August to October 2017. Of 150 patients interviewed (51.3% women, mean age of 66.7 ± 8.3 years, 35.3% DM, 35.3% IHD, 29.3% DM and IHD), 45.3% (68/150) were vaccinated against influenza. The mean knowledge score was 9.68 ± 1.35 (total: 11) and did not differ between those receiving the immunization and those who did not (p = 0.056). Two factors remained significantly associated with their vaccination after multivariable logistic regression analysis: knowing their right to receive free vaccinations (adjusted OR 2.32, 95% CI: 1.06–5.10, p-value: 0.035), and needing to be vaccinated (adjusted OR 3.50, 95% CI: 1.51–8.12, p-value: 0.003). Overall, the vaccine coverage was low; less than one-half of patients received the influenza vaccine, but their knowledge level was high. Possessing the right and having a need were two factors associated with vaccination. Such factors should be carefully considered to encourage patients with DM and IDH to receive the influenza vaccination.

Introduction: This cross-sectional study assessed medication knowledge levels among first year students at a university in northern Thailand and compared students from health sciences and non-health sciences. Methods: A self-administered questionnaire survey was performed in a university...

Patients with type 2 diabetes mellitus (T2DM) can be affected by clinical inertia, leading to abysmal results. Studies on a suitable timeframe for treatment intensification remain scarce—especially outside of developed countries. This study aimed to explore the association between time to treatment intensification and diabetes-related complications. A database from a tertiary care hospital in Thailand was retrieved in order to conduct a retrospective cohort study for the years 2011–2017. This study comprised outpatients with T2DM presenting an HbA1c of ≥7.0%. Eligible patients were divided into three groups based on the time of treatment intensification: no delayed treatment intensification, treatment intensification within 6 months, and treatment intensification after 6 months. A Cox proportional hazards model was used to investigate the association between time to treatment intensification and diabetes-related complications. A total of 686 patients were included in the final analysis. During 6.5 years of median follow-up, the group with treatment intensification within 6 months was more strongly associated with diabetic nephropathy compared to the group with no delayed treatment intensification (adjusted HR 2.35; 95%CI 1.35–4.09). Our findings reveal that delaying treatment intensification by even 6 months can increase the likelihood of diabetic nephropathy compared to no delayed treatment intensification. We suggest that patients with T2DM whose blood glucose levels are outside the target range promptly receive treatment intensification.

This study aimed to determine the efficacy of a smartphone application named Quit with US among young adult smokers. An open-label, parallel, 2-group, randomized controlled trial with a 12-week follow-up was conducted between March and November 2020 among undergraduate students (18 to 24 years) in Chiang Mai Province, Thailand. A total of 273 participants were assigned by simple randomization procedure to the Quit with US intervention group (n = 137) or the control group (n = 136). All participants received pharmacists’ smoking cessation counseling at baseline and follow-ups. In addition, the intervention group’s participants were advised to use Quit with US. The baseline and 12-week follow-up assessments were conducted at a study unit, whereas other follow-ups were completed over the telephone. The primary abstinence outcome was the exhaled CO concentration level (≤6 ppm) verified 7-day point prevalence abstinence. At baseline, the participants’ mean (standard deviation) age was 21.06 (1.62) years. Most identified as daily smokers (57.9%, n = 158), consumed ≤10 cigarettes daily (89.4%, n = 244), and expressed low level of nicotine dependence as measured by Heaviness of Smoking Index score (86.1%, n = 235). Regarding intention-to-treat analyses, participants in the Quit with US intervention group achieved significantly greater smoking abstinence rate than those in the control group (58.4% (80/137) vs. 30.9% (42/136), risk ratio = 1.89, 95% confidence intervals = 1.42 to 2.52, p < 0.001). In conclusion, Quit with US integrated with pharmacists’ smoking cessation counseling significantly enhanced smoking abstinence rates among young adult light smokers consuming ≤ 10 cigarettes daily.

Electronic cigarettes (e-cigarettes) use is trending in Thailand. Electronic cigarettes are banned and illegally imported. This study aimed to investigate the behaviour, rationale, and satisfaction of e-cigarettes users and compared them between males and females. A cross-sectional study was conducted involving 1050 participants using e-cigarettes from December 2019 to February 2020. The participants were recruited by an online questionnaire posted on social media. The participants were current e-cigarettes users aged 18 years and older. Of 1050 participants, 936 were male (89.1%). The average age was 31.2 ± 8.4 years. The participants were from all regions of the country, but most (64.5%) were from central Thailand. Most e-cigarettes users comprised private employees (43.2%). The main source of e-cigarettes in Thailand is online sources such as social media. Tank-style e-cigarettes were popular among users. Amongst e-cigarettes users, the top three rationales for using e-cigarettes were fewer harmful effects from e-cigarettes than conventional cigarettes (81.0%), smoking cessation aids (80.6%), and their lack of attaching cigarette odour (58.2%). The top three reasons for satisfaction were using e-cigarettes as a conventional cigarette cessation aid (5.1 ± 1.3), lessening cravings for conventional cigarettes (5.1 ± 1.3), and reducing conventional cigarettes withdrawal symptoms (5.0 ± 1.3). Online purchase was the main source of e-cigarettes in Thailand. The general rationale for using electronic cigarettes was that they are less harmful and to quit conventional cigarettes. Thai users were satisfied to use e-cigarettes as a conventional cigarette cessation aid. Males and females differed in behaviour, rationale, and satisfaction of e-cigarettes. Public health organisations should provide accurate information about the harm of electronic cigarettes and their efficacy for tobacco cessation.